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stocks

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dolibarr

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

  • Updated Sep 5, 2020
  • Jupyter Notebook
whyrv
whyrv commented May 26, 2020

For intraday prices, Tiingo can provide the IEX volume if explicitly requested as
"?columns=open,high,low,close,volume" per their docs.

Unfortunately the get_dataframe doesn't expose this, when no metric_name is provided, it passes no value for the column parameter to Tiingo's APIs

                url = self._get_url(stock, frequency)
                response = self._request('GET', ur
bionicles
bionicles commented Jan 5, 2019

What's your feature?
it's hard to know what the data mean

Why are you interested in it being added?

>>> print(spy.keys())
dict_keys(['margin_initial_ratio', 'rhs_tradability', 'id', 'market', 'simple_name', 'min_tick_size', 'maintenance_ratio', 'tradability', 'state', 'type', 'tradeable', 'fundamentals', 'quote', 'symbol', 'day_trade_ratio', 'name', 'tradable_chain_id', 'splits'

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